Cummins Hiring Data Engineer 1 in Pune – 2026
Cummins Inc. is hiring for the position of Data Engineer 1 in Pune, Maharashtra. This opportunity is part of the company's Systems/Information Technology career path and involves developing data pipelines, data transformations, data products, and scalable data solutions.
The role can be relevant for early-career candidates and graduates with relevant internship, academic project, co-op, or practical experience. However, candidates should note that the official posting does not specifically classify this position as a "fresher-only" role.
Cummins Data Engineer 1 – Job Details
| Particular | Details |
|---|---|
| Company | Cummins Inc. |
| Job Role | Data Engineer 1 |
| Job ID | 2435232 |
| Career Path | Systems / Information Technology |
| Job Category | Data Engineering / IT |
| Experience | Relevant experience preferred |
| Qualification | Bachelor's degree in relevant technical discipline |
| Location | Pune, Maharashtra, India |
| Work Arrangement | On-site with flexibility |
| Employment Type | Exempt – Experienced |
About the Role
The Data Engineer 1 will support, develop, and maintain data and analytics platforms used by different business and technology teams.
The position involves processing and transforming data from multiple sources and making reliable data available to analysts and other consumers. The engineer will also collaborate with Business and IT teams to understand requirements and build scalable data solutions.
The role includes working with relational, event-based, and unstructured data sources, along with cloud-based and distributed data platforms.
Key Responsibilities
The selected candidate may work on:
Developing and maintaining reliable and scalable data pipelines.
Building data transformations and curated datasets.
Implementing ETL/ELT processes.
Automating deployment and data-ingestion processes.
Processing data from relational, event-based, and unstructured sources.
Monitoring data pipelines and troubleshooting data-quality issues.
Maintaining data integrity and implementing quality controls.
Supporting data governance and metadata management.
Developing physical data models.
Implementing data-storage architectures.
Working with cloud-based and distributed data platforms.
Testing and troubleshooting data pipelines.
Creating monitoring and alert mechanisms.
Collaborating with Product Managers, Data Engineers, Data Scientists, Solution Engineers, and business stakeholders.
Supporting data products for reporting, analytics, automation, and AI-ready applications.
Required Skills
Candidates should have knowledge or experience in several areas related to modern data engineering.
SQL
Working knowledge of SQL is required. Candidates should be comfortable extracting, transforming, and working with structured data.
ETL / ELT
Understanding of ETL/ELT processes, data integration, data transformations, and data pipelines is important for this role.
Data Modeling
Knowledge of data modeling and data-storage concepts is useful because the role involves developing physical data models and implementing data-storage architectures.
Cloud & Distributed Computing
The job involves cloud-based and distributed data-processing solutions. Exposure to cloud platforms and large-scale data systems can therefore be beneficial.
Big Data Technologies
The job description mentions exposure to technologies and concepts such as:
Apache Spark
Scala / Java
MapReduce
Hive
HBase
Kafka
Big Data platforms
Cloud-based computing
Candidates do not necessarily need advanced expertise in every technology listed, but relevant coursework, projects, internships, or practical exposure can strengthen their application.
Educational Qualification
Candidates should have a Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related technical discipline, or equivalent practical experience.
Is Cummins Data Engineer 1 a Fresher Job?
This is an important question for candidates.
The official job description does not explicitly say that the position is only for freshers. It states that relevant experience is preferred and mentions experience such as student employment, internships, co-op programs, and extracurricular team activities.
Therefore, fresh graduates and early-career candidates with relevant technical exposure can consider applying.
Candidates who have completed internships, academic projects, or personal projects involving SQL, ETL, data pipelines, cloud technologies, Big Data, or analytics may find the role particularly relevant.
Who Should Apply?
This opportunity may be worth considering if you:
Have a Bachelor's degree in CS, IT, Engineering, Data Analytics, or a related field.
Have knowledge of SQL.
Understand basic data-engineering concepts.
Have completed relevant academic or personal projects.
Have internship or co-op experience.
Have exposure to ETL/ELT.
Have worked with databases or data pipelines.
Have exposure to cloud or distributed computing.
Are interested in building enterprise-scale data solutions.
What Kind of Work Will You Do?
The role focuses on building and maintaining enterprise data products.
A Data Engineer may work on data pipelines that collect information from different sources, transform the information into usable formats, and make curated datasets available to downstream applications, analysts, and business teams.
The position also emphasizes Data-as-a-Product principles, including reusable data assets, metadata, lineage, data quality, governance, and reliable data consumption.
The data products may support areas such as:
Supply Chain
Quality
Finance
Product Lifecycle
Reporting
Analytics
Automation
AI and GenAI use cases
Why Consider This Opportunity?
For candidates interested in data engineering, this role provides exposure to several important areas of modern enterprise technology.
The job description covers data pipelines, ETL/ELT, SQL, data modeling, cloud technologies, Big Data, data quality, governance, analytics, and enterprise data products.
It can therefore be relevant for candidates looking to build a career in data engineering and large-scale data platforms.
How to Prepare Your Resume
Before applying, make sure your resume clearly highlights relevant technical experience.
Some useful keywords, only if you genuinely have experience with them, include:
SQL | Python | Java | Scala | Spark | Kafka | ETL | ELT | Data Pipelines | Data Modeling | Cloud | Big Data | Data Analytics | Data Quality | Data Governance
For fresh graduates, academic projects and internships can be included if they demonstrate relevant technical skills.
For example, a project involving SQL databases, data processing, Python, Spark, cloud storage, or ETL workflows can be useful to highlight.
Application Process
Interested candidates should review the complete job description and apply through the official Cummins careers website.
Apply for Cummins Data Engineer 1
Official Application Link:
https://cummins.jobs/pune-ind/data-engineer-1/B00061033C5A4D938EA8D44C4576551A/job/?vs=1606
Candidates should verify the latest eligibility criteria, job status, and application requirements on the official website before applying.
Frequently Asked Questions
1. Is Cummins hiring Data Engineers in Pune?
Yes. Cummins has listed a Data Engineer 1 position in Pune, Maharashtra.
2. Is this a fresher job?
It is not specifically advertised as a fresher-only position. However, the description mentions student employment, internships, co-op experience, and other relevant activities, so eligible early-career candidates can consider applying.
3. What degree is required?
A Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related technical discipline is required.
4. Is SQL required?
Yes. SQL is one of the key skills mentioned in the job description.
5. What technologies are mentioned?
The posting mentions Spark, Scala/Java, MapReduce, Hive, HBase, Kafka, SQL, cloud technologies, Big Data, ETL/ELT, data modeling, and data governance.
6. Where is the position located?
The position is based in Pune, Maharashtra, India.
7. Can fresh graduates apply?
Fresh graduates with relevant academic projects, internships, coursework, or practical experience can consider applying. However, the position should not be considered a guaranteed fresher-only opening.
8. Does the role involve AI or GenAI?
The role supports AI-ready data products and mentions GenAI use cases. However, the core responsibilities are focused on data engineering, data pipelines, data transformation, data quality, governance, and enterprise data products.
Important Note for Applicants
Job openings and hiring requirements can change. Candidates should always verify the latest information directly on the official Cummins careers website before submitting an application.
Cummins does not charge candidates money during the recruitment or onboarding process. Be cautious of anyone asking for payment, banking credentials, or other sensitive information in exchange for a job.
Disclaimer: This article is published for informational and educational purposes. JobsWithPooja is not affiliated with Cummins Inc. Candidates should rely on the official Cummins careers website for the latest and complete information regarding this vacancy.
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